Draftor offers an agentic coding environment that centers on a persistent “magic whiteboard” for capturing notes, design briefs, and PRDs, storing this context securely in the cloud for LLM agents to reference across sessions. Integrated conversational AI generates, refactors, and expands code in real time while syncing with Git, CI/CD pipelines, and popular IDEs. The platform is sold via subscription plans that scale with the number of active projects and concurrent agent sessions.
Funding
Funding not disclosed
Founders
Product
Problem
Developers often abandon early-stage ideas because existing code editors and AI assistants lack a persistent, context‑rich workspace, forcing users to re‑enter specifications and losing institutional memory. This fragmentation slows iterative development and hampers hand‑off of technical briefs to large language model (LLM) agents.
Solution
Draftor delivers an agentic coding environment (ACE) that places a “magic whiteboard” at the core of the development workflow. Users can capture raw thoughts, design notes, and PRDs directly in the workspace; the platform’s LLM agents ingest and retain this context, enabling them to generate code that reflects the user’s style and specifications without repeated prompting. Conversational AI is embedded in the editor, allowing real‑time clarification, iterative brainstorming, and seamless transition from idea to production code. All interactions are stored securely in the cloud, preserving institutional memory across sessions and team members. The system integrates with existing version‑control and CI pipelines, so developers can move from context capture to deployment without leaving the environment.
Target Audience
The primary users are software development teams and individual engineers who rely on AI‑assisted coding tools and need persistent project context for rapid prototyping and hand‑off. It also serves product managers and technical writers who create detailed specifications for AI‑driven code generation.
Features
- Interactive “magic whiteboard” that records free‑form notes, sketches, and technical briefs, automatically structuring them for LLM consumption
- Context‑retention engine that stores project‑level memory, enabling agents to reference prior decisions and design patterns across sessions
- Embedded conversational AI panel for bidirectional dialogue with coding agents, supporting clarification, refactoring, and feature expansion in real time
- Spec‑to‑code pipeline that transforms PRDs or user stories into scaffolded codebases using proprietary prompt orchestration and fine‑tuned LLMs
- Multi‑step build orchestration allowing agents to execute sequential tasks (e.g., generate API, create tests, update docs) while preserving state
- Integration hooks for Git, CI/CD, and popular IDEs, ensuring generated artifacts sync with existing development toolchains
- Secure, end‑to‑end encrypted cloud storage with role‑based access controls to protect proprietary project context
- Collaborative session mode that lets multiple contributors edit the whiteboard and interact with agents simultaneously, maintaining a unified context history